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Enterprise Knowledge
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From Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
Safe Software
Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024
The Digital Insurer
In this session, we will delve into strategic approaches for optimizing knowledge management within Microsoft 365, amidst the evolving landscape of Copilot. From leveraging automatic metadata classification and permission governance with SharePoint Premium, to unlocking Viva Engage for the cultivation of knowledge and communities, you will gain actionable insights to bolster your organization's knowledge-sharing initiatives. In this session, we will also explore how to facilitate solutions to enable your employees to find answers and expertise within Microsoft 365. You will leave equipped with practical techniques and a deeper understanding of how there is more to effective knowledge management than just enabling Copilot, but building actual solutions to prepare the knowledge that Copilot and your employees can use.
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
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Effective data discovery is crucial for maintaining compliance and mitigating risks in today's rapidly evolving privacy landscape. However, traditional manual approaches often struggle to keep pace with the growing volume and complexity of data. Join us for an insightful webinar where industry leaders from TrustArc and Privya will share their expertise on leveraging AI-powered solutions to revolutionize data discovery. You'll learn how to: - Effortlessly maintain a comprehensive, up-to-date data inventory - Harness code scanning insights to gain complete visibility into data flows leveraging the advantages of code scanning over DB scanning - Simplify compliance by leveraging Privya's integration with TrustArc - Implement proven strategies to mitigate third-party risks Our panel of experts will discuss real-world case studies and share practical strategies for overcoming common data discovery challenges. They'll also explore the latest trends and innovations in AI-driven data management, and how these technologies can help organizations stay ahead of the curve in an ever-changing privacy landscape.
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc
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Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
Neo4j
Building Digital Trust in a Digital Economy Veronica Tan, Director - Cyber Security Agency of Singapore Apidays Singapore 2024: Connecting Customers, Business and Technology (April 17 & 18, 2024) ------ Check out our conferences at https://www.apidays.global/ Do you want to sponsor or talk at one of our conferences? https://apidays.typeform.com/to/ILJeAaV8 Learn more on APIscene, the global media made by the community for the community: https://www.apiscene.io Explore the API ecosystem with the API Landscape: https://apilandscape.apiscene.io/
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
apidays
Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024
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AWS Community Day CPH - Three problems of Terraform
Performance Improvements
1.
Niklas Nebel Sun
Microsystems PERFORMANCE IMPROVEMENTS IN CALC
2.
3.
Local optimizations
4.
Handling sheets separately
5.
DataPilot performance
6.
Load & save
outlook
7.
Introduction and Context
8.
9.
10.
Recalculation: Up to
20 times faster (extreme case)
11.
Local Optimizations
12.
13.
Single quote character
added if text can be parsed as a number
14.
Unnecessary parsing step
15.
Can take up
to 17% of CPU time
16.
17.
File format: XML
Schema dates ( ≈ ISO 8601)
18.
19.
20.
10% of CPU
time if only date cells are used
21.
22.
Keep a list
of ranges for each set of formats
23.
24.
25.
Operators, separators, parentheses
are not
26.
27.
Use std::nth_element STL
method instead
28.
Faster calculation after
loading
29.
30.
Parameter range can
contain several changed cells
31.
32.
Extreme case: Issue
95967 – 20x faster
33.
Handling Sheets Separately
34.
35.
36.
Others as needed
(display, printing, …)
37.
38.
39.
Row heights can
be updated later
40.
41.
Little improvement for
text and numbers
42.
30% CPU time
with date cells on many sheets
43.
Formula results don't
have to be calculated
44.
45.
Copy unchanged parts
on stream level
46.
47.
CPU: Uncompress
48.
49.
50.
51.
30 – 50%
improvement in total time
52.
53.
54.
55.
56.
Formula calculation for
changed results
57.
Cell format changes
58.
Column widths or
row heights
59.
60.
61.
62.
Collect styles for
unchanged sheets first
63.
64.
65.
66.
67.
68.
69.
Type of sheet
content
70.
71.
72.
On top of
other changes
73.
74.
Range dependency registered
in all affected slots
75.
76.
77.
DataPilot Performance
78.
79.
80.
81.
Combination of large
fields no longer a limitation
82.
Load & Save
Outlook
83.
84.
85.
Filling DOM tree
uses 2% of CPU time
86.
87.
But: Memory usage
twice the XML stream size
88.
89.
Parse XML fragment
from stream, or use DOM
90.
91.
92.
Q & A
93.
PERFORMANCE IMPROVEMENTS IN
CALC Niklas Nebel [email_address]
Download now